Engineering Manager - AI Developer Tools
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on building developer tools powered by GenAI that integrate Google’s latest LLMs to boost developer productivity. The technical stack centers on large language models (LLMs) and AI/ML within Google Cloud. Responsibilities include leading a team, designing, developing, testing, deploying and maintaining server and middleware software, collaborating with researchers and product managers, and triaging production issues. Compensation is 480 000 – 492 000 PLN per year plus a 20% bonus, equity and benefits such as private medical care and training budget.

Engineering Manager - AI Developer Tools

Company: Google

from: 1 October 2026
to: 31 October 2026
40 000 - 41 000 złgross/ mth.contract of employment (full-time)
Salary details

Poland: zł480000 - zł492000 (PLN) + 20% bonus target + equity + benefits

Offer parameters
level:manager
working mode:hybrid
Warszawa, Śródmieście
Warszawa, ŚródmieścieEmilii Plater 53View on map

Requirements

Our requirements

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Optional

  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a complex, matrixed organization.

Your responsibilities

  • With your technical and management expertise you will manage project priorities, deadlines, and deliverables
  • Help grow our presence in Warsaw, and grow and sustain a healthy and collaborative culture for the new team
  • Lead a team to design, develop, test, deploy, maintain, and enhance software solutions.
  • Participate in design reviews with peers and stakeholders to decide amongst available technologies.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Company

About the project

Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
In this role, you will be leading a team in developing GenAI based development tools that are propelling developers productivity like never experienced before. You will develop server code as well as Middleware code which implement functionalities that interact with Google latest LLMs.
You will be delivering machine learning technologies to Cloud customers. You will be working closely with top researchers, engineers, and product managers from both Google Cloud AI and Google Research, developing challenging machine learning solutions that will contribute directly to Google's product excellence. You will develop features that integrate the next generation large language model with balanced trade-off between performance and deployment constraints.
You will be working on improving performance for applications in information retrieval/search/recommendations, understanding of conversations, dialogue summarization, content moderation.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Benefits

  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • remote work opportunities
  • fruits
  • corporate products and services at discounted prices
  • integration events
  • dental care
  • corporate gym
  • corporate sports team
  • retirement pension plan
  • saving & investment scheme
  • corporate library
  • no dress code
  • coffee / tea
  • drinks
  • parking space for employees
  • leisure zone
  • extra social benefits
  • meal passes
  • redeployment package
  • employee referral program
  • opportunity to obtain permits and licenses
  • charity initiatives
  • extra leave
Engineering Manager - AI Developer Tools
40k–41k zł / mth. (CoE)
I apply to:
Google
Warszawa, Śródmieście
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